{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "f0c8c110-94a9-4940-a0a6-80de285b1e37",
   "metadata": {},
   "source": [
    "# 第十三节、Pandas的数据可视化"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "95e1d000-af6a-49e7-9a2d-6a625d656bc3",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "824527c2-2f63-4b7e-8be8-13645123e55a",
   "metadata": {},
   "source": [
    "## （1）线形图"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c5840c30-0a3f-4058-bfcf-d412c0438c8b",
   "metadata": {},
   "source": [
    "`plot()` DataFrame的这个方法默认绘制折线图，默认显示图例"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "a86c6f3f-4429-4464-8577-312f42fb9a03",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>A</th>\n",
       "      <th>B</th>\n",
       "      <th>C</th>\n",
       "      <th>D</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2021-06-27</th>\n",
       "      <td>0.479601</td>\n",
       "      <td>-0.729832</td>\n",
       "      <td>-1.825008</td>\n",
       "      <td>-0.436506</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-06-28</th>\n",
       "      <td>0.398435</td>\n",
       "      <td>0.262954</td>\n",
       "      <td>-0.161362</td>\n",
       "      <td>0.741678</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-06-29</th>\n",
       "      <td>-0.174901</td>\n",
       "      <td>-0.477572</td>\n",
       "      <td>-0.516263</td>\n",
       "      <td>1.801953</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-06-30</th>\n",
       "      <td>-0.534983</td>\n",
       "      <td>-0.525537</td>\n",
       "      <td>0.305118</td>\n",
       "      <td>-0.966431</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-07-01</th>\n",
       "      <td>-0.614496</td>\n",
       "      <td>-1.353974</td>\n",
       "      <td>-0.118571</td>\n",
       "      <td>0.485525</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-03-18</th>\n",
       "      <td>1.122705</td>\n",
       "      <td>0.084116</td>\n",
       "      <td>-1.714107</td>\n",
       "      <td>-1.111939</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-03-19</th>\n",
       "      <td>-0.272879</td>\n",
       "      <td>-0.067780</td>\n",
       "      <td>0.283193</td>\n",
       "      <td>1.018915</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-03-20</th>\n",
       "      <td>0.004724</td>\n",
       "      <td>-0.137730</td>\n",
       "      <td>1.171021</td>\n",
       "      <td>-2.270464</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-03-21</th>\n",
       "      <td>-0.753078</td>\n",
       "      <td>-1.199747</td>\n",
       "      <td>-0.220014</td>\n",
       "      <td>-0.797411</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-03-22</th>\n",
       "      <td>-2.408590</td>\n",
       "      <td>-0.132284</td>\n",
       "      <td>-0.392355</td>\n",
       "      <td>-0.092882</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1000 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                   A         B         C         D\n",
       "2021-06-27  0.479601 -0.729832 -1.825008 -0.436506\n",
       "2021-06-28  0.398435  0.262954 -0.161362  0.741678\n",
       "2021-06-29 -0.174901 -0.477572 -0.516263  1.801953\n",
       "2021-06-30 -0.534983 -0.525537  0.305118 -0.966431\n",
       "2021-07-01 -0.614496 -1.353974 -0.118571  0.485525\n",
       "...              ...       ...       ...       ...\n",
       "2024-03-18  1.122705  0.084116 -1.714107 -1.111939\n",
       "2024-03-19 -0.272879 -0.067780  0.283193  1.018915\n",
       "2024-03-20  0.004724 -0.137730  1.171021 -2.270464\n",
       "2024-03-21 -0.753078 -1.199747 -0.220014 -0.797411\n",
       "2024-03-22 -2.408590 -0.132284 -0.392355 -0.092882\n",
       "\n",
       "[1000 rows x 4 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1 = pd.DataFrame(\n",
    "    data=np.random.randn(1000, 4),\n",
    "    index=pd.date_range(start='27/6/2021', periods=1000),\n",
    "    columns=list('ABCD')\n",
    ")\n",
    "df1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "8d490562-393b-494a-af1e-f193e64e5234",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df1.cumsum().plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9b4ae780-db11-4085-811c-ca7f41f10aeb",
   "metadata": {},
   "source": [
    "## （2）条形图"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a9ddf972-a70d-41ab-b276-58f11501913a",
   "metadata": {},
   "source": [
    "`kind`参数可以控制绘制何种图形，当`kind='bar'`的时候就是条形图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "afdd9a7e-2acc-413c-b144-6eecd2631720",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>A</th>\n",
       "      <th>B</th>\n",
       "      <th>C</th>\n",
       "      <th>D</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.236042</td>\n",
       "      <td>0.401432</td>\n",
       "      <td>0.923421</td>\n",
       "      <td>0.114418</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.924131</td>\n",
       "      <td>0.334345</td>\n",
       "      <td>0.654408</td>\n",
       "      <td>0.823453</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.602690</td>\n",
       "      <td>0.994605</td>\n",
       "      <td>0.875434</td>\n",
       "      <td>0.548846</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.371483</td>\n",
       "      <td>0.072060</td>\n",
       "      <td>0.562531</td>\n",
       "      <td>0.504657</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.720371</td>\n",
       "      <td>0.516409</td>\n",
       "      <td>0.970455</td>\n",
       "      <td>0.630271</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0.989625</td>\n",
       "      <td>0.585445</td>\n",
       "      <td>0.429934</td>\n",
       "      <td>0.620610</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0.118794</td>\n",
       "      <td>0.350333</td>\n",
       "      <td>0.411312</td>\n",
       "      <td>0.815481</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>0.637005</td>\n",
       "      <td>0.253090</td>\n",
       "      <td>0.738009</td>\n",
       "      <td>0.911221</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>0.725875</td>\n",
       "      <td>0.225936</td>\n",
       "      <td>0.683725</td>\n",
       "      <td>0.594113</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>0.888378</td>\n",
       "      <td>0.042227</td>\n",
       "      <td>0.183746</td>\n",
       "      <td>0.325026</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          A         B         C         D\n",
       "0  0.236042  0.401432  0.923421  0.114418\n",
       "1  0.924131  0.334345  0.654408  0.823453\n",
       "2  0.602690  0.994605  0.875434  0.548846\n",
       "3  0.371483  0.072060  0.562531  0.504657\n",
       "4  0.720371  0.516409  0.970455  0.630271\n",
       "5  0.989625  0.585445  0.429934  0.620610\n",
       "6  0.118794  0.350333  0.411312  0.815481\n",
       "7  0.637005  0.253090  0.738009  0.911221\n",
       "8  0.725875  0.225936  0.683725  0.594113\n",
       "9  0.888378  0.042227  0.183746  0.325026"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2 = pd.DataFrame(\n",
    "    data=np.random.rand(10, 4),\n",
    "    columns=list('ABCD')\n",
    ")\n",
    "df2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "b57e9c58-4773-42b1-bc8f-da74b4874483",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df2.plot(kind='bar')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "fe4c457b-0795-45c8-8198-6377646a8824",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# stacked参数设置是否允许堆叠\n",
    "df2.plot(kind='bar', stacked=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9f539660-bc37-4a7e-9b8d-e55f92c3d6e2",
   "metadata": {},
   "source": [
    "## （3）饼图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "b5e6483e-a10e-4f8a-9129-b89306bb1424",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>One</th>\n",
       "      <th>Two</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>A</th>\n",
       "      <td>1.067004</td>\n",
       "      <td>0.687676</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>B</th>\n",
       "      <td>2.588015</td>\n",
       "      <td>0.741405</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>C</th>\n",
       "      <td>1.065745</td>\n",
       "      <td>1.131740</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>D</th>\n",
       "      <td>0.024664</td>\n",
       "      <td>0.637565</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        One       Two\n",
       "A  1.067004  0.687676\n",
       "B  2.588015  0.741405\n",
       "C  1.065745  1.131740\n",
       "D  0.024664  0.637565"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df3 = pd.DataFrame(\n",
    "    data=np.abs(np.random.randn(4, 2)),\n",
    "    index=list('ABCD'),\n",
    "    columns=['One', 'Two']\n",
    ")\n",
    "\n",
    "df3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "b75d5d14-5449-4ce4-8258-940746aa26ec",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([<Axes: ylabel='One'>, <Axes: ylabel='Two'>], dtype=object)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df3.plot(kind='pie', subplots=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "972e29a9-df85-4ddd-bff8-9e33f1aa492f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: ylabel='One'>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df3['One'].plot(kind='pie')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5f804111-ec33-4638-9c89-cc49fe2e8213",
   "metadata": {},
   "source": [
    "## （4）散点图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "efe24e43-4f87-4ac6-a6e0-4a430b956142",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>A</th>\n",
       "      <th>B</th>\n",
       "      <th>C</th>\n",
       "      <th>D</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.367667</td>\n",
       "      <td>0.660325</td>\n",
       "      <td>0.319799</td>\n",
       "      <td>0.381743</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.519510</td>\n",
       "      <td>0.982263</td>\n",
       "      <td>0.291214</td>\n",
       "      <td>0.849204</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.117822</td>\n",
       "      <td>0.225653</td>\n",
       "      <td>0.846964</td>\n",
       "      <td>0.588913</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.973286</td>\n",
       "      <td>0.259575</td>\n",
       "      <td>0.366513</td>\n",
       "      <td>0.374463</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.506674</td>\n",
       "      <td>0.330857</td>\n",
       "      <td>0.985417</td>\n",
       "      <td>0.822515</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0.376585</td>\n",
       "      <td>0.945829</td>\n",
       "      <td>0.107829</td>\n",
       "      <td>0.780109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0.259843</td>\n",
       "      <td>0.811644</td>\n",
       "      <td>0.046185</td>\n",
       "      <td>0.959400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>0.037390</td>\n",
       "      <td>0.189330</td>\n",
       "      <td>0.975098</td>\n",
       "      <td>0.297434</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>0.324440</td>\n",
       "      <td>0.484398</td>\n",
       "      <td>0.529423</td>\n",
       "      <td>0.557912</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>0.137349</td>\n",
       "      <td>0.739653</td>\n",
       "      <td>0.360965</td>\n",
       "      <td>0.362457</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>0.878938</td>\n",
       "      <td>0.477754</td>\n",
       "      <td>0.872582</td>\n",
       "      <td>0.472776</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>0.788570</td>\n",
       "      <td>0.078732</td>\n",
       "      <td>0.708606</td>\n",
       "      <td>0.932905</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>0.821032</td>\n",
       "      <td>0.566831</td>\n",
       "      <td>0.588564</td>\n",
       "      <td>0.582336</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>0.228016</td>\n",
       "      <td>0.780937</td>\n",
       "      <td>0.697638</td>\n",
       "      <td>0.243199</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>0.599452</td>\n",
       "      <td>0.985910</td>\n",
       "      <td>0.434436</td>\n",
       "      <td>0.203508</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>0.285824</td>\n",
       "      <td>0.023382</td>\n",
       "      <td>0.855692</td>\n",
       "      <td>0.304359</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>0.194407</td>\n",
       "      <td>0.300592</td>\n",
       "      <td>0.763587</td>\n",
       "      <td>0.421204</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>0.660537</td>\n",
       "      <td>0.435289</td>\n",
       "      <td>0.207119</td>\n",
       "      <td>0.303457</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>0.452832</td>\n",
       "      <td>0.598372</td>\n",
       "      <td>0.570600</td>\n",
       "      <td>0.714677</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>0.787820</td>\n",
       "      <td>0.007055</td>\n",
       "      <td>0.398989</td>\n",
       "      <td>0.204973</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>0.811112</td>\n",
       "      <td>0.492468</td>\n",
       "      <td>0.411804</td>\n",
       "      <td>0.425956</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>0.588782</td>\n",
       "      <td>0.253300</td>\n",
       "      <td>0.838315</td>\n",
       "      <td>0.537219</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>0.099472</td>\n",
       "      <td>0.367080</td>\n",
       "      <td>0.100185</td>\n",
       "      <td>0.253105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>0.746415</td>\n",
       "      <td>0.045068</td>\n",
       "      <td>0.063766</td>\n",
       "      <td>0.364465</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>0.188617</td>\n",
       "      <td>0.157236</td>\n",
       "      <td>0.729585</td>\n",
       "      <td>0.251333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>0.957912</td>\n",
       "      <td>0.675052</td>\n",
       "      <td>0.287046</td>\n",
       "      <td>0.357952</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>0.266465</td>\n",
       "      <td>0.819736</td>\n",
       "      <td>0.948823</td>\n",
       "      <td>0.062526</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>0.308075</td>\n",
       "      <td>0.589879</td>\n",
       "      <td>0.195486</td>\n",
       "      <td>0.854099</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>0.503222</td>\n",
       "      <td>0.027574</td>\n",
       "      <td>0.417701</td>\n",
       "      <td>0.598379</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>0.660991</td>\n",
       "      <td>0.535618</td>\n",
       "      <td>0.314188</td>\n",
       "      <td>0.746733</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>0.193402</td>\n",
       "      <td>0.947459</td>\n",
       "      <td>0.469810</td>\n",
       "      <td>0.055495</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>0.216958</td>\n",
       "      <td>0.391740</td>\n",
       "      <td>0.998861</td>\n",
       "      <td>0.399708</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>0.067887</td>\n",
       "      <td>0.492592</td>\n",
       "      <td>0.777846</td>\n",
       "      <td>0.279590</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>0.396756</td>\n",
       "      <td>0.233606</td>\n",
       "      <td>0.069829</td>\n",
       "      <td>0.395458</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>0.339135</td>\n",
       "      <td>0.503272</td>\n",
       "      <td>0.910081</td>\n",
       "      <td>0.881838</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>0.768374</td>\n",
       "      <td>0.593178</td>\n",
       "      <td>0.313963</td>\n",
       "      <td>0.244273</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>0.291317</td>\n",
       "      <td>0.414316</td>\n",
       "      <td>0.974545</td>\n",
       "      <td>0.659136</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>0.126487</td>\n",
       "      <td>0.190820</td>\n",
       "      <td>0.523191</td>\n",
       "      <td>0.913725</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>0.333643</td>\n",
       "      <td>0.271190</td>\n",
       "      <td>0.528942</td>\n",
       "      <td>0.751591</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>0.509648</td>\n",
       "      <td>0.651667</td>\n",
       "      <td>0.113929</td>\n",
       "      <td>0.724414</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>0.204228</td>\n",
       "      <td>0.603401</td>\n",
       "      <td>0.686737</td>\n",
       "      <td>0.824891</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>0.107729</td>\n",
       "      <td>0.696924</td>\n",
       "      <td>0.838656</td>\n",
       "      <td>0.530397</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>0.455192</td>\n",
       "      <td>0.417186</td>\n",
       "      <td>0.633753</td>\n",
       "      <td>0.668407</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>0.229806</td>\n",
       "      <td>0.769176</td>\n",
       "      <td>0.324398</td>\n",
       "      <td>0.173459</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>0.589815</td>\n",
       "      <td>0.168810</td>\n",
       "      <td>0.324957</td>\n",
       "      <td>0.750454</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>0.084442</td>\n",
       "      <td>0.972317</td>\n",
       "      <td>0.210228</td>\n",
       "      <td>0.595782</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>0.166990</td>\n",
       "      <td>0.376602</td>\n",
       "      <td>0.779607</td>\n",
       "      <td>0.825396</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>0.588257</td>\n",
       "      <td>0.688001</td>\n",
       "      <td>0.618092</td>\n",
       "      <td>0.354059</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>0.242402</td>\n",
       "      <td>0.294954</td>\n",
       "      <td>0.075382</td>\n",
       "      <td>0.541679</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>0.398079</td>\n",
       "      <td>0.302411</td>\n",
       "      <td>0.332032</td>\n",
       "      <td>0.692076</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           A         B         C         D\n",
       "0   0.367667  0.660325  0.319799  0.381743\n",
       "1   0.519510  0.982263  0.291214  0.849204\n",
       "2   0.117822  0.225653  0.846964  0.588913\n",
       "3   0.973286  0.259575  0.366513  0.374463\n",
       "4   0.506674  0.330857  0.985417  0.822515\n",
       "5   0.376585  0.945829  0.107829  0.780109\n",
       "6   0.259843  0.811644  0.046185  0.959400\n",
       "7   0.037390  0.189330  0.975098  0.297434\n",
       "8   0.324440  0.484398  0.529423  0.557912\n",
       "9   0.137349  0.739653  0.360965  0.362457\n",
       "10  0.878938  0.477754  0.872582  0.472776\n",
       "11  0.788570  0.078732  0.708606  0.932905\n",
       "12  0.821032  0.566831  0.588564  0.582336\n",
       "13  0.228016  0.780937  0.697638  0.243199\n",
       "14  0.599452  0.985910  0.434436  0.203508\n",
       "15  0.285824  0.023382  0.855692  0.304359\n",
       "16  0.194407  0.300592  0.763587  0.421204\n",
       "17  0.660537  0.435289  0.207119  0.303457\n",
       "18  0.452832  0.598372  0.570600  0.714677\n",
       "19  0.787820  0.007055  0.398989  0.204973\n",
       "20  0.811112  0.492468  0.411804  0.425956\n",
       "21  0.588782  0.253300  0.838315  0.537219\n",
       "22  0.099472  0.367080  0.100185  0.253105\n",
       "23  0.746415  0.045068  0.063766  0.364465\n",
       "24  0.188617  0.157236  0.729585  0.251333\n",
       "25  0.957912  0.675052  0.287046  0.357952\n",
       "26  0.266465  0.819736  0.948823  0.062526\n",
       "27  0.308075  0.589879  0.195486  0.854099\n",
       "28  0.503222  0.027574  0.417701  0.598379\n",
       "29  0.660991  0.535618  0.314188  0.746733\n",
       "30  0.193402  0.947459  0.469810  0.055495\n",
       "31  0.216958  0.391740  0.998861  0.399708\n",
       "32  0.067887  0.492592  0.777846  0.279590\n",
       "33  0.396756  0.233606  0.069829  0.395458\n",
       "34  0.339135  0.503272  0.910081  0.881838\n",
       "35  0.768374  0.593178  0.313963  0.244273\n",
       "36  0.291317  0.414316  0.974545  0.659136\n",
       "37  0.126487  0.190820  0.523191  0.913725\n",
       "38  0.333643  0.271190  0.528942  0.751591\n",
       "39  0.509648  0.651667  0.113929  0.724414\n",
       "40  0.204228  0.603401  0.686737  0.824891\n",
       "41  0.107729  0.696924  0.838656  0.530397\n",
       "42  0.455192  0.417186  0.633753  0.668407\n",
       "43  0.229806  0.769176  0.324398  0.173459\n",
       "44  0.589815  0.168810  0.324957  0.750454\n",
       "45  0.084442  0.972317  0.210228  0.595782\n",
       "46  0.166990  0.376602  0.779607  0.825396\n",
       "47  0.588257  0.688001  0.618092  0.354059\n",
       "48  0.242402  0.294954  0.075382  0.541679\n",
       "49  0.398079  0.302411  0.332032  0.692076"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df4 = pd.DataFrame(\n",
    "    data=np.random.rand(50, 4),\n",
    "    columns=list('ABCD')\n",
    ")\n",
    "\n",
    "df4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "f06d5844-fcc5-4d7b-8133-1f9bb7917484",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='A', ylabel='C'>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df4.plot(kind='scatter', x='A', y='C')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "74ef0237-dd56-45d1-9e5c-adaf37860e4a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='A', ylabel='C'>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df4.plot(x='A', y='C', kind='scatter', color='DarkBlue', label='Group 1')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "edbb3dc1-86b9-453b-9ab0-9fc06c9c2b6b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='A', ylabel='B'>"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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5TpbVYcYbmaiuN3U5lsYqyZBl4KnPD+G97fmt21WigNdmjsXFg3rbNHFcJQoI1vnhvYVp6Nc7yL5fgIiI3MLtg4xtsWnTJjz77LN4/fXXsWfPHnzyySdYv349nnnmmQ6Pefzxx2EwGFofhYWFLoyYHGGVZCxcuRMNJiusNnakPvX5QRw880vVYX+NCm/NTcG9l/aHv58KADpMdlTnWmpSEsPxxaKJGHVelxcREfV8bhtkHBkZCZVKhZKSkjbbS0pKEBMT0+4xTz31FObMmYM777wTADBixAjU19fj7rvvxhNPPAFRvDBf02q10GovHHxKPd/mY2XIq2iw61hRELA6Mw/P3zyqdZtaJeLR3wzBA5cNwGd7z2DltjycKG27tlSARoUZ4/SYlZaIAVFstSEi8lRuS3A0Gg2Sk5ORkZGBG264AUDzIOOMjAwsWrSo3WMaGhouSGJUqua7cTeOlSYnWZWZB5Uo2LXcglWS8eneM/jTNUMRFqBp87MgrRqzxydiVloCimuaUN1ghtkqIUTnh5hQHXTnWniIiMhzuXWa+OLFizFv3jykpKQgNTUVr7zyCurr67FgwQIAwNy5c9GnTx8sXboUADB9+nS89NJLGDNmDNLS0nDixAk89dRTmD59emuiQ96hos6In3LK4EjaarHKWH/gLGalJbb7c0EQEBvqj9hQfweehYiIeiK3JjgzZsxAWVkZnn76aRQXF2P06NHYuHFj68DjgoKCNi02Tz75JARBwJNPPokzZ86gd+/emD59Ov7+97+761cgJympMTqU3ADNY2mKDSwCSUTki9xaB8cdWAfHM+wtqMKNr29z6Bx+KgHzJyThiWnDFIqKiIjcxWPq4BB1JkSBRS0lGQjRcXFMIiJfxASHeiR9eADCHExyrJKMsYlcHJOIyBcxwaEeSaMWcXtagkMrgSf0CsCE/hHKBUVERB6DCQ71WLenJcCREWLzJyRBELi8AhGRL2KCQz1WfHgA7pjU165j/f1E3DqOy3IQEfkqJjjUo/3pmqG4ZkT7la0788hvhiBI69YqCERE5EZMcAgAYLRYUVTdiKLqRpgskrvDaaUSBbw6cyzunNz9lpxQfz/MSktwYlRERNTT8RbXx50orcXqzHx8tOs0Gs1WAM3rMd2aosfc9MQesYq2ShTw5LRhmDQgEneu2gVLB0s3CAKgFgW8MScZWjUrWxMR+TIW+vNhH+8+jUc/3g8IuGC9J5UoQADw0ozRuG5UnHsCbMehIgMe+Wg/Dp+taY1RRnP8A6OC8I+bR2JsAqeGExF5G1uv30xwfNR3h0tw9+pdnS6HIKC5VWTlglRcPKi3q0Lrln2F1dh4qBiGRjOCdWpcOTQayYnhnDVFROSlbL1+s4vKB0mSjL9+eajL/VqSn2e+OoxvH764RyUPo/RhGKUPc3cYRETUQ3GQsQ/aerIchVWN3VrMUpaB46V12J1f5fS4iIiIlMIExwdtPlYGtQ0lgtWigJ+OlTkxIiIiImUxwfFBdUarTfsLAlBntDgpGiIiIuUxwfFBIf62Db3iqtxERORpmOD4oKuGRXdYS6Y9VknGVRdFOzEiIiIiZTHB8UFjE8IxMCqoWyt1iwIwMj4UF8WFOj8wIiIihTDB8UGCIOBvNwyHIDQXyut4v+aCf3++7iKXxUZERKQE1sHxEmarhIwjJcgprkNtkxlaPxGRQVr8ZngMYkP9L9g/rV8E3pybjPvf2wOTVcL5PVaCAOjUKrw5N4WVgYmIyOOwkrGHKzY0YU1WAd7bno/KehPUogBBaK5fY5VlCACmDIvGvPQkTOgfcUGxvrJaI9btLMC72/NRUmMEAMSF6TBnfBJuTYlHRJDWDb8VERFRW1yqoQvelOB8e6gYi9bshUW6sAXm11SiAKskY9qIWLx46yjo/NpfiNJsbV5F3E/FnksiIupZbL1+80rmoT7PPoN73t0NczvdS+drWUjz64NnMf+dLBgt7dfB8VOJTG6IiMgr8GrmgXblVWLxh/sgA91abqGFJAM7TlXi8U8OOCs0IupARZ0Rh4oM2FtQhdyyutYbDyJyDg4y9kD//CYH9vYsyjLwyZ4zuO+S/hgYHaxwZET0a5IkY/PxMqzOzMePOaX49cc2JlSHeekc60bkLGzB8TAnSmux41Rll91SnVGJAt7bnq9cUER0gdKaJkx/bQvmv7MTPx0rw/n3JMWGJvzzm6MYvzQDH+8+7Z4gibwYExwP8972AqhsWCizPVZJxoe7TqOe60sROUVpbROuX7YVR4trAaDD7ihJBsxWGf/30T68m5nnwgiJvB8THA/zzaFiRfruG81WZJ2qVCAiIvo1WZZx58pdKK012vRZffrzQ9ieW+HEyIh8CxMcD1PdYFbuXI0mxc5FRM0ycyuw/4zB5hsRUQD+s+mkk6Ii8j1McDyMpGDZIouVsziIlLY6M9+ubmSrDGw+VobCygYnREXke5jgeJhgnXIT30L9/RQ7FxEBtU1mfOtAN7IoCPh07xmFoyJSTp3Rgs3HyrDxYDH2FlTZPaPXFThN3MOMS+qFbw+XODwOp3mV8DBlgiIiAM1Lnzjy0RQE4KyhSbmAiBRSWW/Cy98dw0e7C9Fkllq3J/QKwD2X9MPtqQkXLAXkbmzB8TBz0hMdTm5UooArh0UjJlSnUFREBAAWBz+bMn5ZMoWopyitbcL1r23BmqyCNskNABRWNuCJTw/iiU8P9rjWHCY4Hia9XwSSIgLgSJ5slWTMTU9SKiQiOsfRbl8BQBi7jqmHeeiDbBQZmtq9uW7ZsiarAB/1sHpOTHA8jCAIePDygTYt0fBrKlHARXEhmNA/QtG4iAiICtZiQFSQ3TcgFknGJYN7KxoTkSOOFtcgM7eiy54DAcAbm3N7VCsOExwPdFNyPBZO6mvzcSpRQGSQBu/MH9fj+krJPnVGC9ZmFeDZDUew9Osj+GzvGTSZ219MlZxPEAQsmJhk1w2IAEAf7o+J/SOVDovIbl9kF3VrVqAM4ERpHXJKap0fVDdxkLGHeuKaofBTiVj+00mIAroc2CgKQEK4P1YvTENUCMfeeDqLVcKL3x3Dyq15aDRb4acSIMvNLQAhn6vxwGUDcPfF/ZjIusENo/vg2fVH0GCy2pzozJ/YF6KDlcqJlFRWa7Rp//JaExDjpGBsxBYcDyWKAh67egjempuCcUm9AOCCLLvlnxGBGjx4+UB8tmgS9L0CXB0qKcwqyXjwg71YvukkGs+11pitcusA15omC5Z+fRR//uJQj2ou9hWBWjX+PXMMIKDbXVWiAEwaGIm56YlOjY3IVoFatU1drgFaldNisRVbcDzclGHRmDIsGidKa7FmRyGOFtegusEMf40KUcFaXDcqDlOGRcNPxVzWW6zJKsDGg8Vdtg6syszHxAGRuOqiHnI75UOuGBqNV2eOwe/XZkNGx2tRtVw4Jg6IxPLZyfycUo9z+ZAorNyW1619ewVoMDwu1LkB2YAJjpcYEBWMp6cPc3cY5GSyLGPFz7nd2lcUgHe25jHBcZNrR8ahb2Qg3tici/X7z0KSZahEoXVVcYsko2/vQCyY2Bczx+mhZnJDPdCkAZHQh/vjTHVjp0MhRAGYPT4BGnXP+TsWZB9rw66pqUFoaCgMBgNCQkLcHQ6RTQ6eMeDaV7fYdMzOJ6agd7DWSRH1PFZJRtapSpTXGTE0NhgDooLdHRIq6oz4Yl8RzlQ1wmSVEOrvh0kDIpHatxfHSVGPtzu/CjPf2A6LJLWb5IgCMDQ2BB/dm44AjfPaTWy9frMFh8iDlNXZNuAPAMrrjD6T4OwrrMZ97+9GUfUv1YAnD4zEazPHIjTAffVlIoK0WDDR9pmPRD1BcmI41t4zHn/4cB9OlddDLTYPMJMkGTKAq4fHYulNI5ya3NijZ0VDRJ3y97N9AJ89x3iiynoTZr21Aw0mS5vt205UYNEHe/DuwjQ3RUbk+cYmhOOHP1yCHacq8dOxMjSarIgO0eH60XGIC/N3d3jtYoJD5EFG9AmFv0aFRlP3at3EhOh8ZubcR7sKUW+y4PxOd6ss4+fj5TheUouB0e7vriLyVIIgYHy/CIzv5xmFYnvOaCAi6lKgVo0ZKfpuFd4SBWDehKRu7esNjpyt6fQL7fDZGpfFQkTuxwSHyMPcd2l/hAf4dZq4qEQBiRGBmDU+wYWRuVdkkLZ5Oe4O9A7yjXFIRNSMCQ6Rh4kO0WHdPemIDmm+YP86z1Gd+++BUUFYe/d4hOh8Z+HGm1Pi2603IwpAbKgOaR7SrE5EyuAYHCIP1L93EH78v0vx9YFivLs9H7lldRAEAcNiQzAnPRFXDInyuboqQ2JC8OS0ofjb+iPn6s00Jzv+GhVenzXWZ7rqiKgZ6+AQkVc5crYGH+8+jfI6I4bEhODWlHhEsHuKyOOxDg4R+bShsSF46lpW9Sbydb7Vhk1EREQ+gQkOEREReR12UZHbna5qwBf7ilBaY2xdpyetby9cPLA3RA4MJSIiOzDBIbfZeqIcK7acwo9HSyEIgPirGib/2XQSfcL8MX9CEm5PS0Cgln+qRETUfZxFRS4nyzJe/v44/p1xHCpRaLd2SQtBAAZFBWP1wlREh+hcGCUpqabJjKp6E4DmhSeDmLASkY04i4p6vJe/O4Z//3ACADpNbgBAloETZXW4dXkmPl80EWEBGleESAqwSjJ+OlaKVdvysflYGVreaUEALh8chbkTkjB5QCS7IYnIKdiCQy718/EyzFmRZfNxKkHAFUOj8MbcFCdERUo7XdWABe/sxPHSunZb6Vq2DY0NxsoFbJ0joq7Zev3mLCpyqbd+PtW6nIAtrLKM7w6XoLCyQfmgSFFnqhtxw7KtyC2vB9B+K13LtmMldbhh2VaU1jS5NEYi8n5McMhlCioasPlYGax2thkKArAmq0DZoEhRkiTjjneyUNVg7rL7EWhOdEprjbhr9S74WGMyKUSSZPx8vAwrtpzCii2n8PPxMkjd+Nsj7+f2BGfZsmVISkqCTqdDWloasrI6776orq7GAw88gNjYWGi1WgwaNAgbNmxwUbTkiC/2nelssecuSTLw0a5C5QIixW05UY6ckrpuJTctrJKMfacN2J1f5cTIyBt9uKsQk5//EXNWZOHv6w/j7+sPY86KLEx6/ges28mbIV/n1gRn3bp1WLx4MZYsWYI9e/Zg1KhRmDp1KkpLS9vd32Qy4corr0ReXh4+/vhj5OTk4M0330SfPn1cHDnZo7imqc1UcHtU1Jt69N2ZLMs4U92IE6V1aDBZ3B2Oy63KzLNrUUuVKGB1Zr4TIiJv9cr3x/DHj/fjTHUjgOYboJavhqLqJjz6vwN46dscN0ZI7ubWWVQvvfQS7rrrLixYsAAAsHz5cqxfvx5vv/02HnvssQv2f/vtt1FZWYlt27bBz88PAJCUlNTpcxiNRhiNxtZ/19TUKPcLkE3MFscTE1luHo8joufNvPk8+wyW/XgCx0rqAABatYibk+Px+ymD0DvY+xd7bDJb8cPRUtjT02SVZGw4cBavzBjNWVXUpZ+Pl+GV7493ud+/fziBsYnhuHRwlAuiop7GbS04JpMJu3fvxpQpU34JRhQxZcoUZGZmtnvMF198gfT0dDzwwAOIjo7G8OHD8eyzz8JqtXb4PEuXLkVoaGjrQ6/XK/67UPeE+DueT2vVIvxUbu9ZvcC/M47jobXZOH4uuQEAo0XC2p2FuO61LT4xiLaqwWRXctPCIsmoNfpeqxfZbsWWU91qKVSJAlZsOeWCiKgnctuVory8HFarFdHR0W22R0dHo7i4uN1jcnNz8fHHH8NqtWLDhg146qmn8OKLL+Jvf/tbh8/z+OOPw2AwtD4KCzmGw11S+0bA4kD3kkoA0vr1UjAiZRwtrsFL3x0DAJz/27UMon3mq8OuD8zFHO1+bD6HAoGQV6uoM+KnnLJuD2LfcrwcZbXGLvcl7+NRhf4kSUJUVBTeeOMNqFQqJCcn48yZM/jnP/+JJUuWtHuMVquFVuv93QOe4PIhUYgO1qLEzi8bqwzMn5CkbFAKeG97fqcVma2SjA0Hi7GkzojIIO/9WwwL8INaFOxOYnVqkRWOqUvldaYLbiQ6IwMorW3yiW5iastt3yaRkZFQqVQoKSlps72kpAQxMTHtHhMbGws/Pz+oVKrWbUOHDkVxcTFMJhM0Gla57clUooC5E5Lw4rc5sPUaKACIDtXhkkE9ry99X6Ghy7tJqyTjeEmdVyc4WrUK14yIxfoDZ22aRQU0/23cOLYPBAVagci7adW2dzzo/FRd79QJWZaxM68Kx0tr0WiyIlinRkpSL/TvHeTQecm53JbgaDQaJCcnIyMjAzfccAOA5haajIwMLFq0qN1jJk6ciDVr1kCSJIhi8x/5sWPHEBsby+TGQ8xJT8THu0+joLLB5ovgM9cPt2uGjrNpuvmF62dPhUMPMzc9EV/sK7L5OKskY/b4RCdERN5G3ysAUcFalHazJTgySIPEXgF2PVeDyYIPdxZi5bY85FU0FxkVhV9ma43v1wvzJyThqmExHBzfA7l1tObixYvx5ptvYtWqVThy5Ajuu+8+1NfXt86qmjt3Lh5//PHW/e+77z5UVlbioYcewrFjx7B+/Xo8++yzeOCBB9z1K5CNQnR+eHdhKqJDtN1KVoRzj7/fOAJXDovuane3uHxIVJdjR0J0agzvE+qagNwoOTEc45LCbUpEVQJw8cDeuCjO+18fcpxKFDA3PbFb47VEAZgzPglqOyYmnDU04rrXtuIvXx5GfsUvFdR/fV+281Ql7n1vD363di+Mlo4nu5B7uDXBmTFjBl544QU8/fTTGD16NLKzs7Fx48bWgccFBQU4e/Zs6/56vR7ffPMNdu7ciZEjR+J3v/sdHnrooXanlFPPFR8egC8WTcLkgZEAmteZOl/LtqhgLf47Jxm3pyW4NEZb3Jqih0YtdljEUEDz2CFHm8k9gSAIeGNOChLC/dt9X88nCkD/qCC8NmuMC6IjbzEnPQn68IBOE2mVKKBPmD/mTbC9ZbCy3oRbl2fiVHk9ZFw4eaBFS1X2DQfO4qG12T26Rpcv4mKb5FanyuuxZkc+Pt59GlUNZgDNXTlpfSMwb0ISLh8S1SO7pc635Xg5Fq7aCYtVhvXcR0olNH8BXnVRNJbdPrZHTm93luoGExat2YMtJyo6XWzzssG98a+ZYxCi83NTpOSpiqobMfftLJworWv9rAG/fO769Q7EuwvT0CfM3+ZzP7hmDzYcLLa5G/3ZG0f06JsxT2fr9ZsJDvUYFqsEiyR7bEtHYWUD3tuRj68PFKPRbMXg6GDMHp+Iq4ZF+2z//KEiA97bXoDPs8+gwdTchB+oVeG3Y+IxJz0Rg6KD3RwheTKzVcL3h0uwOjMfOSW1gAwMignC3PQkXDks2q6bitLaJox/NsOuiRD9o4Lw3cMXc7C8kzDB6QITHCL3aDI3JziemsCSb3g14zhe/v6YzQlOi4/uTce4pJ5Xr8sb2Hr99p02cyJyK52fiskN9XgZR0vtTm7UooBNOe2vpUiuxwSHiIjonKoGk0PHGxrNCkVCjmKCQ0REdE5361q1RxAAjYqtlD0FExwiIqJzkiIC7Z65aZVkxIfbPmuLnIMJDhER0Tm3jdPbPD28hSgIuH50nMIRkb2Y4BAREZ1z6eAoxITYvmacShRw7chYRHjxenOehkv3EhH5kNomMz7bewbbcythtFgRHaLDb8f2wdiEcNZvQXOi8oerBuORj/d3+xgBzTOo7rt0gPMCI5sxwSEi8hErt57CcxuPwmiWIJxbNFIlCnh/RwEuigvB8tnJ0Nu5MKU3uSVFj8KqRvw743iX+4pCc9fU8tnJGBzDwpU9CbuoiIh8wPKfTuLPXx5Gk1mCjF8WjWwZb3K0uBY3vr4VZw2N7guyB1l85SA8c8NwBGqbZ0Wd37jVMhA5JlSHD+4ej8uGRLk6ROoCKxkTEXm5/Ip6XPrPTR0uGtlCJQq4alg0/jM72SVxeYJGkxVf7ivC6sw8nCyrR5PFikCNCuOSemHehCRcPLC3zy7F4mq2Xr/ZRUVE5OXe31EAURBaF4LtiFWS8c2hYpTUNCE6ROei6Ho2f40Kt47T49ZxeneHQjZiFxURkZdbv/9sl8lNC0kGfjjK5QbI8zHBISLycrXG7i8foBIE1HC5AfIC7KIi6gHK64zYcrwcVQ0mmK0SQnR+GBwTjNH6ME7dJYeF6PxQ02jp1r5WWUaov5+TIyJyPiY4RG4iyzL2FFRhdWY+1u8/C4skQxQAAb+MlRgcHYT5E/vi+tFxCNDw40r2mTYyFm9tPtWtbipRAC4fyhlB5PnYRUXkBoZGM2a9tQM3/ScTX51LboDm8Q+/vggdK63D458cQNqzGdhyvNxd4ZKHm52WCKnLOVTNs6iuHh6LqGAOMCbPxwSHyMXK64y48fWt2JFbCQCdrnvTkuvUGS2Y+/YOfLW/yBUhkpfR9wrAE9cM7XQflSggMkiDp6cPc1FURM7FBMfNZFlGo8mK8jojGk1W+FhZIp/TZLZiwTs7kV/R0O1ZLUBzoiPLwO/XZmN7boUTIyRvdefkfvj7jcMRoGkuXKcSmovXqc/VcBnRJxSf3j+R08PJa7BT302KDU34IKsA723PR0W9qXV7rwANbk9LwMy0BPQJ83djhOQMqzPzcKjIAHsWK26uPivjkY/24adHLmNxMbLZrLRE3DimD77ILsKOU5VoMv+yFtXI+DB3h0ekKFYydjFDoxlPfHoAGw6cBYB2L3Si0HwxmzosBs/dNAJhARrXBklOIUkyJj3/A4qqmxw+17sLUzF5YG8FoiIi8gysZNyDldQ0Yeab25Ff3tDpHXzLz747UoIjr9Xgg7vHI46tOR5v8/EyRZIblShg1bZ8JjhETmCxSvj+SAm+P1KKmkYzAjQqpPaNwPWj4xCo5SXTk/DdcpE6owVzV2TZNPbCKsk4Xd2I2St24NP7J7I2hYdbt7MQKlHodFBxd1glGRlHS1BRZ0REkFah6Ijoo12F+MfGoyivM0ElCpAkGYIAfJZdhL+tP4yFk/ri91MGtS60ST0bExwXef3HEzheWmvz2AurJCO/vAGvZhzHk9dydoOnkmUZh8/WOJzc/HI+4KyhiQkOkUJe33QCz2/Maf13y2e15X60wWTFqz+cQG5ZPV6dOcapY+DK64z44UgpyuuNMJolBOvUGBQdjEkDIjn2zgZMcFzAaLHi/R0Fdg0sBZrroqzdWYg/XDUY/udmQJDn+DGnFH9ffwT5FQ2Knre2qXuVaYmoc5tyStskN51Zf+AsLuoTgvsvHaBoDLIsY3f+ucKfB87CKslQiQIENE8ukGQgLkyHeelJuDVFj/BAjs3sCqeJu8DGg8UwOLi2S53Rgi/3sQaKp/lwVyHuWLkTJ8vqFD93AJNdIkX896dc2NIw8tbmUzBZJMWev8lsxb3v7cbNyzNbkxuguRXJIsmtN8dF1U14buNRpC/NwHeHSxR7fm9lV4JTUfFLHY7CwkI8/fTTeOSRR/Dzzz8rFpg3+WzvGZs+PO0RBODTvWeUCYhcYvOxMjz6v/2tNWyU1juY3VNEjjpVXo/M3AqbWtgrG0z49nCxIs/faLLi9je3tyYsXXVjyzJgtEi4+91d+GTPaUVi8FY2JTgHDhxAUlISoqKiMGTIEGRnZ2PcuHF4+eWX8cYbb+Cyyy7DZ5995qRQPVdxTZPd3VMtZLl5FhZ5jn9sPOqU84oCMDYhjDPriBSw/3S1zceoRQH7Txscfm5ZlvHgB3uRXVht0zVCRvM14f8+2odtJ7iES0dsSnD++Mc/YsSIEdi8eTMuvfRSXHvttZg2bRoMBgOqqqpwzz334LnnnnNWrB7LaFamKdOoYJMoOde+wmocKqpxSsuNJAPzJiQpf2IiH2Tv93OT2erwc285UY7vj5TYfQMsy8DTXxxiBfwO2DTIeOfOnfjhhx8wcuRIjBo1Cm+88Qbuv/9+iGJznvTggw9i/PjxTgnUk4UGKDO9O4TTxD3Gp3vPKDIlvD1hAX74zfAYxc9L5IvsGawrAwhXoADrqm35Dn1PyABOlNZhV34VxiX1cjgeb2NTC05lZSViYpq/WIOCghAYGIjw8PDWn4eHh6O2tlbZCL3AGH24w3UTVKKAMQlhygRETldU3QjJCckNADw1bRi0ag4wJlLCxAERNg/Yt0oyrhkR69DzFlU3IuNoicM3QSpRwOpteQ6dw1vZPMhYEIRO/00XmjU+QZHibrPTEhWKiJxNkmU4I715eMog3JQc74QzE/mmAI0aM8bpu30TKgpASmI4BscEO/S8Gw6chRJXT6skY8PBYkVndXkLm+vgzJ8/H1pt8+yNpqYm3HvvvQgMDAQAGI1GZaPzEv17ByGtby/szKu0q69VFIBR8WEYFuf6tbPIPr2DtVCLAiwKtOK0VFRdMn0Y5k/sq0B0RPRr917SH1/sK0J1g7nTm1EBgCgIePyaoQ4/Z1mtsfmzbXX8O8IqyTA0mjmz8jw2teDMmzcPUVFRCA0NRWhoKGbPno24uLjWf0dFRWHu3LnOitWjPXj5QLsHnEoy8OAVyhaVIue6dmSc3cmNgOZZGgDg76fC7LQEfLf4YiY3RE4SHaLDmjvHIzzAr8OSHipRgJ9KxH/nJCM5Mbz9nWzQaLYqOglBiUHP3samFpx33nnHWXF4vUkDI/HUtcPw168O23zsY1cPweVDop0QFTnLhP4RSOgVgIJK26sXTx0eg5gQHQbHBOO6UVzgj8gVBscEY+PvL8a7mfl4d3s+KutNrT/T+Ym4JVmP+ROT0L93kCLPF6xT9nOt9Pm8AV8RF7pjUl9o/UQ8+dlBiELnI+dbuiWenj4MC3jn7nEEQcDDVw7Ew+v22XAMcGuKHv+4aaQTIyOijkQGafHwlYOw6PIBOHDGAEOjGYEaNYbFhSBI4RuNvpFBinRhA0CIvxohOs6yPR8THBeblZaIsQnhWJ2Zh0/2nIHJIkGtEiDLzRc4iyRDLQq4cUwfzE1PwvA+oe4Omex045h4nCqrx79/ONHlvoIApPeLwF+vv8gFkRFRZ/xUIsYmON4N1ZlrRsTg6c8PosHkWNeSSmi+rnARzgsJso9VCKqpqUFoaCgMBgNCQtw7aNfQaMYX+4qQX16PepMFgRo1EiICcP2oPorVziH3e3d7Pp7/+ihqjRaIAtoMNBeF5kGLt43T4+npF0Gj5vJwRL7iL18ewurMfIdm2QoANv/xMuh7BSgXWA9l6/WbCQ6RCzSZrfhq/1mszSpAYVUDrJKMiEAtrhsdhxnj9IgM4uwHIl9zsqwOU178ye6SEipRwMWDIvHO/FRF4+qpmOB0gQkOERH1FG9vOWXX5BOVICAiSIMvH5yE6BCdEyLreWy9frM9nIiIyE3umNQXD10x0KZjVKKAXkEarLkrzWeSG3swwSEiInKjh68chH/ePBLh58ZedlaLBwDS+vbCl4smYUCUY9WUvR1nURER+ZgmsxXHSmohycCAqCDFp0CT7W5J0eP60X3wzaFirNqWh135VW1+HqBR4dYUPWaPT2Bi0038qyYi8hGNJiteyTiG97cXoM5oAdBcxO7m5Hg8ctUQzt50M41axPRRcZg+Kg7ldUZU1pvQZLYiROeHmFAddH5cZNcWTHCIuskqycirqEd1gxkWq4QQfz/oewXw7pc8QpPZillvbUd2YXWbUgVNZgkfZBVi28kKfHrfRCY5PURkkJazKx3Eb2aiLpTXGfHhrkKs3paH4pq2C8pq1SJuGNMHc8YnsihjJ6ySjD0FVSipaYJVkhEeoEFKUjgCNPwKcpW3t566ILlpYZVk5Jc34KXvcvCX64e7PjgiJ+A0caIONJqs+PMXh/C/PachyXKHK8GrxOZlN0bFh+Kft4zCoGj2j7eoqDNiXQfJ4S9jChIxIEqZ9X2ofZIkI31pBkpqjZ3u5++nwu6npjDxpB6J08SJFFBZb8It/92Gj3YXwiJ1nNwAaK1CevBMDW5YthWZJytcFGXPtu1EOS5+/ke88E3OBckNADSYrHh3ez6ufOknrNhyyg0R+o7KBlOXyQ3QvMJ1blm9CyIicj4mOETnaTRZMfftHThytrbTxOZ8VllGk9mK+e9k4eAZg/MC9ABbT5RjzttZaDRbu0wOZQDPfHUYr2/qes0uso9K6P46RSquaUReggkO0Xme+eoQDhfV2LU+jCQDFquM+e9kocns2CJ6nqqs1oi7Vu+C3Em3Xnue35iDn4+XOS8wHxYW4If+vQPRVeoSHuCH/r3ZXUjegQkO0a9U1Zvw0e7TNl2Yz2eVZZTXmfD1wbPKBeZB1u0sQFMXLTftUYkC3tic65ygfJwgCFg4qV+nax6JAjAnPYkLvpLX4F8y0a98vPs0LI5kN+eIArBya57jAXkYi1XC6sx8uxJEqyTj5+PlyK/gGBBnuG2cHteNigWANi05wrnH+H4ReOCy/u4IjcgpOFSeeiSrJGN3fhX2n67GybI6GC0SQnR+GBYbgnF9e6FvZKDizylJMlZuy4MS8wolGdh32oBDRQZcFOc708ez8ipR2o3BrB1RCQI+zy7C72xcm4e6JooCXpkxBhP6R+LtradwrKQOABAf7o95E5Iwl6035GWY4FCPYrJIWJ2Zh7e2nEKxoQmiAIiCABnNd5ktrSvjksLxuysGYvLA3oo9d5GhEWeqGxU7nygAmScrfCrBKW1ntpQtBAEoqWlSKBo6nygKuC01AbelJqC2yQxJAkL81RBsGIRM5CmY4FCPcaykFovW7MHxkrrWsQKSDEjtNKnszq/CnBVZuCU5Hn+5/iJF6nYYGs0On+PXREFQ/Jw9ndkqOXwOi9WnSnO5TbCOFYvJu7E9knqE/aercePrW3GyrL7TgZAtWsZ4/G/Pacx6cwfqz62r4wh7Zk11RhCgyHgeTxIeoHH4HGFcKoCIFNAjEpxly5YhKSkJOp0OaWlpyMrK6tZxa9euhSAIuOGGG5wbIDlVWa0Rc1ZkodFktTnJaB7rUo2H12XD0aLcIQrf0UoyEOrvWxfrcX17QevAOA6LJOOyIVEKRkREvsrtCc66deuwePFiLFmyBHv27MGoUaMwdepUlJaWdnpcXl4e/u///g+TJ092UaTkLE9+dgB1RovdU7MlGfj2cAm+2FfkUBwxoToEapVbrdcqyRgc41vLNoT6++G3Y+PtKhYnAOgbGYi0vr2UD4yIfI7bE5yXXnoJd911FxYsWIBhw4Zh+fLlCAgIwNtvv93hMVarFbNmzcJf/vIX9OvXz4XR0q/Jsozcsjpsz63AT8fKsLegCjVNto05OXDagG8OlTjcPSQA+MfGo5AcOI/OT4XbxiUoVsk1NlSHixUcBO0p5oxPtPv9vGNiEge8EpEi3DrI2GQyYffu3Xj88cdbt4miiClTpiAzM7PD4/76178iKioKCxcuxM8//9zpcxiNRhiNv8zsqKmpcTxwH9dgsuCL7CKs3JaHo8W1bX6mUYm4cWz3V9d+b0d+62KVjpABFFU3YfPxMlw62P4ujllpCYqsiyQIwNz0JJ8sez8sLgR/uHIQXvzuWLePEQXg4kG9MTM1wYmREZEvcWsLTnl5OaxWK6Kjo9tsj46ORnFxcbvHbNmyBStWrMCbb77ZredYunQpQkNDWx96vd7huH3ZxoPFGPf37/HYJweQU1J7wc9NVgkf7z6Na1/dgjlv7ehyFtGPR0sVG9yrFgVsOV7u0Dn69Q7CxP4RDicmalHArSnxDp3Dky26fAAevHwAgObkpSMtReYuHtQbr88aC7XK7Y3KROQlPOrbpLa2FnPmzMGbb76JyMjIbh3z+OOPw2AwtD4KCwudHKX3WptVgPve240GY/MaSx2N6W1JWLadrMCNr29FZb2p3f2q6k0OFYU7n0WSse90tcPnWfrbkQjWqTu9MHflud+ORESQ1uFYPJUgCPjDVYPx5twUJCeGA2heikEtCq3/DwD6XgF4evowvDU3RZGp/kRELdz6jRIZGQmVSoWSkpI220tKShATE3PB/idPnkReXh6mT5/euk2SmutuqNVq5OTkoH//tqXGtVottFrfvdAo5cejpXj80wPdmsLdwirLyK9owIJ3svDhvenQqtsO4K2oVy65aaFEwpQQEYDVd6Ri1ls70GDHzK7Hrx6Cm5J9t/Xm164cFo0rh0XjWEktPs8+g7JaIyySjDB/Da4YGoUJ/SM45oaInMKtCY5Go0FycjIyMjJap3pLkoSMjAwsWrTogv2HDBmCAwcOtNn25JNPora2Fv/617/Y/eQkkiTjyc8Owqbs5hyrJGPfaQM+23sGM8a1HV/hjAubqNA5R8aH4fMHJmL+OztRUNkAlSDA2kGTVcsz+qlEPHfTCPx2LJOb8w2KDsYjU4e4Owwi8iFubxNevHgx5s2bh5SUFKSmpuKVV15BfX09FixYAACYO3cu+vTpg6VLl0Kn02H48OFtjg8LCwOAC7aTcn4+Ue7QEgaCALyzNQ+3pujbJDVxof4QhI67uux5nqSIAGVOhubxOD/84RL8mFOGVdvysOVEOQQ0l7sX0NxCJcu/rOVzS7IeoSxSR0TUI7g9wZkxYwbKysrw9NNPo7i4GKNHj8bGjRtbBx4XFBRAFD1qqJDXWb0tz6GZTrIMHC2uRXZhNcYkhLdu99eo0C8yECfLlFk9WhQEjIwPU+RcLdQqsbWb5VR5PbadLEd1gxlmq4RQfz8Mig5Ger8IiD44W4qIqCcTZEfLv3qYmpoahIaGwmAwICQkxN3h9HhWScbAJzbYXYSvhVoUcM8l/S7opnjpu2N47YfjDp+/xdcPTcbQWL6vRETextbrN5tGPJgsy9idX4W3fs7Fx7tPo9bGInvdUdtkViz5qGq4ML6ZqXoIcLz1QyUAYxPCmNwQERGAHtBFRfZpMFlwz+rd+PlEOUShebmCpz9X4fVZYx0qdHc+JdeKbK/KcGyoP+6/rD9e++GEPWOYW8kA/nIdx2EREVEztuB4qOc35mDryeaidi15Q6PJinve3d1h3Rl7hOiUy4E7GoD74OUDMSwuxKHier+fMggj4ruunExERL6BCY4HslglrNtZeEHriozmSsJfZJ9R7LnUKhEpSeEOFb0DmovwTejffnFGjVrEuwvTMDAqyKbnadn1jol9W6vmEhERAUxwPFKj2YpGs7Xdn6kEQdHqwAAwf0KSw11V8eH+mDyg4+rTvQI1+N99EzArLREAumzNEQUgUKvGyzNG4alrh7JYHBERtcExOB4oSKtGfLg/TlddWJvGIskY0Y1FLm1x1bAYhAf4tTtIuDsEAZiXntTlVOpArRrP3DAct6TEY+XWPHy5vwhm64WZVWSQBnPGJ+H2tAT0DmaVaiIiuhCniXuoj3YV4pGP97fZphIFJEUEYOPvL4afwosWrs0qwGOfHOh6x/OoRAGxoTqs/91khPrbVgTPZJFwrKQWJ8vqYLRICNH54aK4EMSH+7PFhtpoMFnw5b4iHCqqgaHRDFEQEOrvh9S+vXDlsGjFPw9E5Hq2Xr/ZguOhbknRw2yV8dJ3OSivM0EQgCuGRuFvNwx3ypf5bakJKKhswOubTnb7GJUoIESnxnsL02xOboDmsTnD+4RiuMItUuQ9TpTW4b3t+fhwVyEaTFaoRQGSLDevUi4IWLktD70CNZgzPhEzUxMQE6pzd8hE5CJswfFwFquEs4YmhOj8nL5MgCzLWLHlFP6+4QhEdLw2U8u09b4RAVi9MA36Xsotn0AENP8t/ndzLv7x9VGI3aiyLQrNCfe/bhuDa0bEuihKIlKSrddvJjhks8LKBry/owBrduSjpskCoHlGU8sf0rikcMyf0BdXXcSuAVKeLMt4dsMRvPnzKZuOa+nUfPa3IzAzNaHTfYmo52GC0wUmOMoxWqzYcrwcZbXG5jEy/mqM6BOKAVHB7g6NvNiKLafwzFeH7T5eEIAV81Jw+ZBoBaMiImfjGBxyGa1ahSuG8iJBrlNa24RnNxxx7CQy8MjH+7H98SvYwkjkxfjpJiKP8eHOQjja6CwDqKgzIeNIiTJBEVGPxASHiDyCxSphdWa+IuujiQKwclue4ycioh6LCQ4ReYSfj5crVqVbkoHtuZXIr6hX5HxE1PMwwSEij3CyrM7hNdHOd6qcCQ6Rt2KCQ0QeoabJAlHhCtYtZQ6IyPtwFhW5nCzLqDNa0GCyIlCrRqBGxaUXqEtatfL3YxrOoiLyWkxwyGUKKxuwJqsAa3YUwND4y8KdEYEazBqfiJmpesSG+rsxQurJwgL8uqxYbM85icg7McEhp6tuMOGPH+/Hd4dLIArA+QuEV9Sb8NoPx/HaD8cxbWQsnr1xBIJ1vPBQW5MH9Fb0fEFaNUbrwxQ9JxH1HExwyKnOGhpx23+343R1I2RcmNy0aLkxX7//LHKKa7HmrvGIDNK6LE5f02Cy4PPsIny5rwgV9SYEa9W4bEgUbk3Ro3dwz3zdEyICcPGg3thyvKzDv6PuUokCZqbqofNTKRMcEfU4THDIaWqbzJizIgunqxu73bUgycDJsnoseGcnPrwnHf4aXoCU9s2hYixel416kxWCALTUzdtTUIWXvjuGP1w1CPdd0r9HjouaNyERPx0rc/g8VknGrLREBSIiop6KI+zIaZb/dBK5ZXU2j5uwSjIOFhmwKjPPOYH5sO8Ol+De93ajwWQF8EtyAzQnl1ZJxvMbc/DvjBNuirBzlwyKQr/egVA5MF9cJQBXDo1GUmSggpERUU/DBIecwmix4v3tBXZXnZVlYNW2PMUHlfoyo8WK//toHyD/svJ7R17+/hhyy+pcEpctVKKAlfNTEaRVQ2VHjqMSBSRFBuLFGaOUD46IehQmOOQUGw8Wo/pXM6XscdbQhM0KdEdQs68PFMPQaO4yuQGaE4H3dxQ4PSZ7JEQE4IO7xiMsUGNTS45KAPpFBuL9O8cjhIPYibweExxyig0HzjpcdVYlClh/4KzNx5XWNOGnY2U9sgXCnTYeKu72e2KVZHy1v8i5ATlgWFwIvlw0CRcPioQAdNqaIwqAWhRw49h4fHL/BMSE6lwWJxG5DwcZk1OU1hgdXhTRKsmoqOv+2kOyLGPp10fx1s+5rc89ZWgUXp05loOVAVTXm2x6T2oae3aV37gwf7wzP7XD+koAEBuqw7wJSbglOR4RnJVH5FOY4JBTmCVJkfOYLN0/z6d7z+CNzblttv1wtBQvfJuDp64dpkg8nizE3w8Cuh5/0yJQ6xlJob5XAB79zRA8PGUQSmqaYGg0QyUKCPX3Q0yIDqLSC1gRkUdgFxU5RXiAxuFziAIQFtj983y06zTOn9ksycBHuwodjsUbXD4kqtvJjUoU8JvhMU6NR2katQh9rwAM7xOKobEhiAvzZ3JD5MPYgkNOkZrUC1tPlDvUTSXLwLjE8G7vb7RY20x7/mW7Mq1JSpMkGT+fKMeuvErUNlkQoFFhZHworhgaDT8nrJF03eg4PPPVYdSfmyLeGaskY/Z41okhIs/FBIecYkaqHi9/f8yhc2jUIn6bHN/t/a+6KAZ7C6vbJDkqUcBVw6IdikNpFquEldvy8M7WPJypboRaFNDSd2SRZEQEajA3PQn3XNJP0Uq7ARo1/nbjcDy8bl+X+94xsS+GxIQo9txERK7GLipyiqhgHa4eHmt3QTaVKOC3Y+Ntms47f0ISxveNaD7+XF9VXKgOf5o21K4YnKHJbMWdq3fh7+uP4Ex1I4DmpMZilWE519xVUW/CvzKO4db/ZqK6waTo8984Jh7P3zwSalG4oDuv5TW7a3JfPNmDXjMiInsIstxeo773qqmpQWhoKAwGA0JCeIfqTEfO1uCGZVthskjdHvsBNI+90fmpsP53k9HXxmqzLd0+B88YoO8VgKkXRUOr7hmDZWVZxn3v78G3h4q71XWnEgWMig/FB3ePV/x3KK8z4sNdhfgiuwiV9SYEaFSYMjQas8Yn2vyaExG5gq3XbyY45FQZR0pw1+pdkIF2x8ecTxSaL+yr7kjFhP6RTo/PlTYfK8Pct7NsPu4fN43AjHEJToiIXKmouhFnDY2oM1oRpFWhT1gAa/IQ2cDW6zfH4JBTXTE0Gu8uTMPdq3f9sv5RO/u19JYE69R4e/44JCf2clmMrrIqMw8qUbBp+QlBAFZuzcOtKfoeufgldc5ilfD9kRKs3JaP7bkVF/x88sBIzEtPwmVDohxaX4uoJzBarNh2ogJldUZo1SJG68OQGOG+FmEmOOR0EwdEYttjV+Cj3YVYtS0PhVXNY09+vZJ1UmQg7piYhBvG9EGwF5bRL61pwg9HS7vVivVrsgwcKa7FoaIaDO8T6pzgyCm251bgwQ/2oqzW2GEF6W0nK/Dz8XLEhurw2u1jkWzDrEGinqLOaMHrP57A++0U25w0IBIPXj4Aaf0iXB4Xu6jIpSRJxs68ShRUNqDeaEGQzg99IwMwNiHcq1soduZV4pblmXYf/++ZY3DdqDgFIyJn2njwLBat2QtJlrs13qqla/aNOSm4bEiU8wMkUkhlvQm3vZGJE6V17f6ttyT3/7x5FG6yYVZse9hFRT2aKApI6xfhlmzenWypyNweo7nr2jXUM2SdqsSiNXthleRuD66XZEC2yrjn3d348N50jNaHOTNEIkXIsoy7392Fk2X1HSbyLdsf+XgfEiICMC7JdcMPOE2cyAVC/R3rdgtToDI0OZ8kyfjDh9mQ5O4nNy1kABZJwh8/3gcfa1gnD7Uzrwq78qq6Na5QEAS8/uMJF0T1CyY4RC4wJCYYve1c7FGrFpHWz/sGXXujrSfLUVjVaHcFb0kGjpXUYU9BlbKBETnB6nMTJ7rDKsnYlFOGwsoGJ0f1CyY4RC6gVomYm57Y4WDTjqhEATcl21bwkNxn1bZ8h2dDqUQBqzPzFYqIyHl253ev9aaFDODgGYPzAjoPExwiF5mRqodWrbItyZGBeelJzgqJFFTTZEbG0RKbvvDbY5VkrN9/Fk0cd0U9nD1jC01W160NyASHyEWignV4Y24yBEHoMskRzj3+ectIDI4JdkV45KCyWqPNZQA6YpFkVCm8TAeR0qJCtLC1vdLernp7cBaVl5JlGZm5FVibVYjc8jrUNVkQoFEjPtwfvx0bjylDo6B2worV1LnJA3vj3YWpuO+9PTA0mtvUAgJ+KXio9RPx4i2jMW1krFviJNs1dmOVdls0KHw+IqXdNDYef19/pNv7RwZpkNrXdeMJmeB4GYtVwgdZBVix5RTyKhouqJx7tLgG3x4uQe8gLeamJ2Lh5L4I0PDPwJUm9I/Ejj9dgS/3FWHltjwcKqpp/VlSZCAWTEzCjV5a8NCbBeuU/RwpfT4ipd2SrMc/v8mBsRtdVaIAzE1PcumNNT9BXqTBZMEDa/Zg09Gy1m3njwdo+WdZnREvf38MXx8sxso7xiEqmGviuJLOT4VbUvS4JUUPk0VCndGCAI0KOr+esTAo2S4qWAetWuzWl31XArUqhLM0APVwoQF++MdNI/H7ddmd7icKwPA+obhrcj/XBNbyvC59NnIas1XCnat24aecsuaFLbtxjCQDOSW1mPHf7ReU1ybX0ahF9ArUuCW5Kas1oqLO6PLn9Ub+GhV+OzZekVlUt41LgB+7kMkD3DCmD/5122jo1GLr2MEWLZ+FiQMi8d6dafDXuPY7ji04XuK5r48i82SFzcXFrJKMgooGPPTBXqy8I9UpsVHPU1DRgN+v24s9BdUAgIn9I/DSjNGIDmFLniNmj0/AB1kFDp3DKsmYlcbV48lzXD+6Dy4bEoVP95zBJ3tOo6TGCK2fiLS+vTB7fCJGxoe5JS4mOF7A0GjGu5n5Nic3LayyjE3HypBTXMsZOz7AKsmYs2IHTlc3tm7bfqoSd6/ehc8emOjVa4I520VxoRibEIZ9pw12TRdXiQIm9ItAv95BToiOyHlCdH6YNyEJ8yYkuTuUVmwD9QL/230aZgdrC6hEAe9tZ3ExX7ArrxL5lQ1tLsBWSca+0wYcK6lzY2Te4V+3jUGozg8qO4o6RgRq8MKto5wTGJGPYYLj4WRZxspteQ6fxyrJ+Gh3IeqMFseDoh6ts/e4zsixWI7S9wrA+3elISxA0+3xOCpRQGSQBmvuGs9uQiKFMMHxcIZGMwoqG+zunvq1JrOE4yW1CpyJerLUvr2g82v70RcAhAf4YUSfMLfE5G2Gxobgiwcn4ZJBvSEAHRZ2FIXmxxVDo/DlokkYEMWuKSKlcAyOh1N69hNnU3m/YJ0fXrhlFH6/NhtWqXnVa41axMszRkOj5j2PUvqE+ePt+eNwuqoBH2QV4IOsQlTW/1KdODJIg9vTEjEzVY/YUH83RkrknZjgeDhHp6SeTy3yAucLrh0Zh9SkXvjuSAlUgoCrLopBr0DWXXGG+PAAPDJ1CB6ZOgQmi4QGU3NVcSaTRM7FBEdBZqsElSBAVDjp6EyYwsXAwgJYPddXRIXoMCst0d1h+BSNWoRGzUSSyBWY4Dig0WTFF/vOYHVmPk6U1sFokSAACNSqceng3pibnoRxSeFOnXYbpFUjJTEcewqq4OAixogM0mAIp4kTEZEXYIJjB0OjGf/6/jjW7SpAvdHaZsFEGc2zVL4+WIyv9p9F/96BuPeS/rg5Od5pic68CUnYlV/l0DncsU4IERGRszDBsdHpqgbMWZGFgooGWM9lNXI7LSctNUZyy+rxyMf7se90Nf48/SKnJBBTL4pBeIAfqhrsHyAsy8BtqXoFoyIiInKfHnG7vmzZMiQlJUGn0yEtLQ1ZWVkd7vvmm29i8uTJCA8PR3h4OKZMmdLp/koqrW3CLcszUVD5S3LTlZa93t9egCc+PQi5m8fZQqMW8cjUIQ6dw08tYntupUIRERERuZfbE5x169Zh8eLFWLJkCfbs2YNRo0Zh6tSpKC0tbXf/TZs2YebMmfjxxx+RmZkJvV6Pq666CmfOnHFqnJIk4453dqK01mhXCXYZwLpdhXh7a57isQHA7WkJuOdi+1dqNVsk/O6DvXiX1YyJiMgLCLIzmhRskJaWhnHjxuG1114DAEiSBL1ejwcffBCPPfZYl8dbrVaEh4fjtddew9y5c7vcv6amBqGhoTAYDAgJCel2nD/mlGLBOzu7vX9HwgP8sONPU5wyRVSWZby+6ST++U0OVKJgVyImAPjg7vEY3y9C8fiIiIjsZev1260tOCaTCbt378aUKVNat4miiClTpiAzM7Nb52hoaIDZbEavXr3a/bnRaERNTU2bhz1Wb8tTpOZMVYMZ3xwqdvg87REEAQ9cNgBfPTgJN43tA7Ud8YoC8J9NJ50QHRERkeu4NcEpLy+H1WpFdHR0m+3R0dEoLu5eEvDoo48iLi6uTZL0a0uXLkVoaGjrQ6+3fSBtYWUDNuWU2dUicj5RAFYpsHZUZ4b3CcXzN4/C1cNjOiwR3xGrDGw+VoaCigbnBEdEROQCbh+D44jnnnsOa9euxaeffgqdrv0F6h5//HEYDIbWR2Fhoc3P893hEig1w1uSgV35VaioMypzwk58d6TErto4ggB8e9g5rUxERESu4NZp4pGRkVCpVCgpKWmzvaSkBDExMZ0e+8ILL+C5557D999/j5EjR3a4n1arhVardSjOynoTREGApOBwpaoGEyKCHIurM0aLFU1mya5jVYKAil+tmUNERORp3NqCo9FokJycjIyMjNZtkiQhIyMD6enpHR73/PPP45lnnsHGjRuRkpLi9DgbzVbFWnBaz2myL/noLpUDAcsA/Fy43AQREZHS3F7ob/HixZg3bx5SUlKQmpqKV155BfX19ViwYAEAYO7cuejTpw+WLl0KAPjHP/6Bp59+GmvWrEFSUlLrWJ2goCAEBQU5JcYgrbrdYn6OCNY596VXq0REBWtRWmt7V5hFkhHfK8AJURH5JotVQsbRUry/PR/HSuoAAEPjgjFnfCIuGRSl+KK5RNQDEpwZM2agrKwMTz/9NIqLizF69Ghs3LixdeBxQUEBxF+tcP2f//wHJpMJN998c5vzLFmyBH/+85+dEqO+VwAsCgwwbqEWBfQOdl73VIvb0xLw74zjNo/D8fdT4ZoRsYrFYWgw4+M9p3HwjAG1TWZo/VSIC9Xht2PjMTS2+1P1iTxRYWUD5r2ThdyyeqiE5oH8AFBWZ8SPR8swJCYYKxekIia0/XGERGQft9fBcTV76uDUGy1I+dv3aDRbHX5+lSjgulFxeHnGaIfP1ZWSmiakL82wKcFRiQJmpSXgr9cPd/j5T5TW4r8/5eKz7DOwWGWI577cRaF5SrtVkjFGH4aFk/ti2ohYpy5KSuQO5XVGTH91S6cFQlWigPgwf3yxaBJCA/xcHCGR5/CoOjieIlCrxi0p8Yo0I1slGXPSExWIqmvRITo8cNmAbu8vCkCYvx/uu7S/w8+9KacU0/69BZ/sPQOzVYaMX+5cJfmXtbr2na7GojV78dRnBxWZhk/Uk7z+48kuq59bJRmFVQ148+dcF0ZG5P2Y4HTT7PGJDl+ARQEYHBOMMfowZYLqhsVXDsLstAQAzVWKO6ISBYT6++HdhWmIDfV36Dm3nSzHwlW7YLJKXb5mLT9+f0cBlnzunLW6iNyhwWTB2p0F3frekGTg/R35MFmcO/mAyJcwwemmQdHBmJue2GmS0BVBEPCX6y5yaVeMIAh45obh+MdNI5AY0TxwWC0KUIkC1KIAUWj+93Wj4vDlg5MwLM6xMTGGRjPuXr0bsizbNDBbBvDejgJ8nl3k0PMT9RTZhdVoMHW/W7uqwYwjZ+2rtE5EF3L7IGNP8vS1w1BU3YiMI6WwpZ1BOPc/L906yi1rPAmCgBnjEnBrih6ZuRX44UgpqhrM0PqJ6BcZiN+OjUevQI0iz/W/3adRb7TY9Pr8Eifwxs+5uGFMH0ViIXKnBqPtY/bqTRYnRELkm5jg2ECtEvGf2cl48tODWLersFsLWqqE5taSZbPG4sph0Z3u62yCIGBC/0hM6B/plPPLsoyVDixDIcvA4aIa7CusxigXduMROUO4HTcN4QHK3GgQEbuobOanEvHcTSPw/p1puGJoFEQBrY8WLYORQ3Rq3H1JP/zwf5e4PblxhT0FVSiobLCr9aaFShTw4S7bl9Mg6mlG68MQ3c1yEAKAxIgADIkJdm5QRD6ELTh2EAQBEwdEYuKASJw1NGLdzkIcL61Ddb0JGrWI8AANJg2MxDUjYqHzU7k7XJc5XdXo8DmskqzIeYjcTSUKmDcxCS98k9OtUg0LJiSxVAKRgpjgOCg21B+/nzLI3WH0CE0K1AkCmusOEXmDhZP64sejpdidX9VhkiMKwMQBkZg13jXlI4h8BbuoSDFBWmWKlLHYGXkLrVqFVXek4tqRcRAAqH7Vpd3yuDk5Hm/OTYGfil/HREpiCw4pZkis4+MHRAEYxuUbyIsEaNT498wx+ONvBuPDnYU4WVYPCMCgqGDcOi7e4bpTRNQ+JjikmP69g5DWtxd25VW2Vi22lQzgttQEReMi6gniwwOw+KrB7g6DyGewTZQUNX9Ckt3JjUoUcPmQKPQJ4x0tERE5hgkOKWrKsGgMjAqya90uWZZx/6XdXzuLiIioI0xwSFF+KhGrF6aiV6Cm20lOy17/vHkUkhPDnRccERH5DCY4pLjYUH98/sBEJJ1b+6qzPEcUALVKwLLbx+Km5HgXRUhERN6Og4zJKeLC/LHhocn4+kAxVm7LQ3ZhNYDmhKalHkivAA1mpydiZqqeM0mIiEhRTHDIabRqFW4Y0wc3jOmDw0U1OFhkQG2TBTo/EbGhOkwe2Ju1P4iIyCmY4JBLDIsLwbA41rchIiLX4O0zEREReR0mOEREROR1mOAQERGR12GCQ0RERF6HCQ4RERF5HSY4RERE5HWY4BAREZHXYR0cIiLyaiaLhG8OFWNPQRVqGi3QqJuLjd4wug8Szi0pQ96HCQ4REXml8jojVm7Nw3s78lHdYIZaFCCjeYFfWZbx8nfHMHlgJBZO7odLBvV2d7ikMCY4RETkdXKKazF7xQ5U1Blb17+ztPzHr2w9WYHNx8tx/6X98X9XDYbY2erA5FGY4BARkVfJK6/HLcu3od5kRTs5TRvWczu8vukkJBl47OohLoiQXIGDjImIyGtIkoyFq3ai3mRtTV66a/lPJ/H94RInRUauxgSHiIi8xtaT5ThZVm9zcgMAKgF48+dcJ0RF7sAEh4iIvMaqbflQ2TmOxioDO05V4kRprcJRkTswwSEiIq9Q3WBCxtESu1pvWqhEAR/vPqNgVOQuTHCIiMgrFNc0QbY/twHQPH38rKFRmYDIrZjgEBGRV2gySw6fQ5aBJrNVgWjI3ZjgEBGRVwjROV75RBQFBOv8FIiG3I0JDhEReYU+4f4OJzmSJGNkfKhCEZE7McEhIiKvoFWrMDMtASrB/mrEGrWIG8f0UTAqchcmOERE5DVmpSZCsnOksUoUcHNyPLuovAQTHCIi8hoJEQG4LVUPWxtxRAHw91Ph7ov7OScwcjkmOERE5FX+ev1wXDywN7qb44gC4KcSsWJeChIjAp0aG7kOExwiIvIqfioRb81Lwa0pegDosLJxy+ZegRp8dG860vpFuCpEcgFBlh0ti+RZampqEBoaCoPBgJCQEHeHQ0REHcgrr8epinoMiw1BdIjOrnOcKK3D+zvysW5nIRpMbevbjE0Iw/yJffGbi2KgUfN+v6ez9frNBIeoExarhG0nK3C6qhH1RgsCtCrEhflj0oBI+Kn4hUjkDBarhEf/tx//29O8ZIIoAA9ePhAPXznI7nM2mqw4UVqHmiYztGoR0SE66HsFKBUyuYCt12/HqyIReaHS2iZ8uLMQqzPzUVprBND8JduyxE1EoAZz05NwW6re7jtLUo7ZKqG01giTRUJ4gB/CAjTuDokcsG5XYWtyAzR/7v6VcRxp/XphQv9Iu87pr1FhBOvb+BQmOETnWZtVgCc/OwhJlvHrNft+/d8V9Sb8K+MY/p1xHH++bhjmpCe5PE4CiqobsWZHAd7bno/qRnPr9vR+EZg3IQlXDou2e2Vpcp+NB4shAPh194JaFPDtoRK7ExzyPUxwiH7l9U0n8PzGnG7t25zwyHjq80MorzM51HxOtvv2UDEWrdkLiyTh/MWjs05VIDO3Aun9IvDG3GTWNfEwQVo1RAGw/up9lQEEalVui4k8DwcREJ3zyZ7T3U5uzvevjOP4IKtA4YioIz8fL8O97+2G2XphcgP8cmHMOlWBO1ftgsni+CKM5DozUxPaJDeCAAgAfjs23m0xkedhgkOE5tWD//zFIYfO8cxXh9FgsigUEXXEKsl45OP9kNG2C6PdfWVgx6lK/G/PaVeERgq5eFBvvHDLKEQFawEASRGBWDF/HPr3DnJzZORJ2EVFBGDDgbOoaXIsOWkwWfF5dhFmpiYoFBW156djpSg2NHV7f0EAVm49hdvG6SE4sEYRudbNyfG4aWwfGC0StGqR7x3ZjC04RABWbsuDo2NRWy6kPlZ5weU+2XMGKhveK1kGckrqcKykznlBkVMIggCdn4rJDdmFCQ75vNNVDdh/2tDuWA5btFxIc8vrlQmM2nWmurHN+IzuKq7pfqsPEXk+dlGRzys7V+dGKeW1Ro4VcCK1nU1tfpwu7pMkScbWk+VYtS0fWacq0GSWEOKvxjUjYjF7fCIGRQe7O0RyEiY45POazMrOsGnijB2nGhgdjD0F1bDa0OQmAEiM5CKKvqa0tgkLV+7CgTMGqESh9W+mvM6E93cUYHVmPm5NicffbxzByuReiO8o+bwQf2Xz/GAd7xuc6fbUBJuSG5XQPCunT5i/E6Oinqa6wYRbl2fi8NkaALjgb6bl3x/tPo2H12VDcrSPmnocJjjk8/S9AqC2ZdRqJ0QBSOT6Nk41vE8oRuvDul2h2CoDCyYmOTco6nFe+DYHhVWNXSbDsgx8tf8sNhw866LIyFWY4JDPC9H54bqRcQ6X9FeJAq4eHouIIK1CkVFH/n3bGITo1N16z+6c1BeXDo5yQVTUU9Q2mfHRrtPdbukTBWDl1jznBkUuxwSHCMCc9ESbuj3aY5VkzE1PVCgi6kxCRAA+vX8ikiKaW8vOT3REofnx0BUD8cS0oe4Ikdzo64PFMNowFk6SgV35VSioaHBiVORqPSLBWbZsGZKSkqDT6ZCWloasrKxO9//oo48wZMgQ6HQ6jBgxAhs2bHBRpOStRuvDMDwuxO5WHJUoYFB0EFL79lI4MupIUmQgvnv4Ery7MBWXD4lCdIgW4QF+GNA7CA9PGYTtf7oCD185iDVUfFBRdaNds+2KDI1OiIbcxe2jIdetW4fFixdj+fLlSEtLwyuvvIKpU6ciJycHUVEXNitv27YNM2fOxNKlS3HttddizZo1uOGGG7Bnzx4MHz7cDb8BeQNBEPD6rGRMf20L6possNpQrE8UgACNCv+ZncyLqYuJooDJA3tj8sDe7g6FehDRzs+hvcdRzyTIbi67mpaWhnHjxuG1114DAEiSBL1ejwcffBCPPfbYBfvPmDED9fX1+Oqrr1q3jR8/HqNHj8by5csv2N9oNMJo/KXOSU1NDfR6PQwGA0JCQpzwG5EnO1RkwJy3smBoMnery0olCgjSqrH6jlSM0oc5P0Ai6tJX+4uwaM1em44RBGD741cgOkTnpKjIUTU1NQgNDe329dutXVQmkwm7d+/GlClTWreJoogpU6YgMzOz3WMyMzPb7A8AU6dO7XD/pUuXIjQ0tPWh1+uV+wXI61wUF4rPF03ExQMjIQAdLgmgEgUIACb2j8AXiyYyuSHqQa4cFo1Qf79u768ShXPdnExuvIlbE5zy8nJYrVZER0e32R4dHY3i4uJ2jykuLrZp/8cffxwGg6H1UVhYqEzw5LX0vQLwzoJUbP7jZbj7kv4IC2j7RRmiU2PhpL7Y9MilWL0wDYkRLCBH1JNo1SrMS09Ed3ucrJKMOyb2dW5Q5HJuH4PjbFqtFlotp+2S7fS9AvDob4bg0d8MQZPZinqjBYFaNXR+KneHRkRdeODyAdhxqhI78yq7XGfuwcsHYOKASNcERi7j1hacyMhIqFQqlJSUtNleUlKCmJiYdo+JiYmxaX8iJej8VIgI0jK5IfIQWrUKq+5IxfWj+1zQ3Syce2jVIp64ZigWXznITVGSM7k1wdFoNEhOTkZGRkbrNkmSkJGRgfT09HaPSU9Pb7M/AHz33Xcd7k9ERL5J56fCyzNGt3Y3j9GHYVB0ENL69sKfr7sIO5+cgrsu7sfZj17K7V1Uixcvxrx585CSkoLU1FS88sorqK+vx4IFCwAAc+fORZ8+fbB06VIAwEMPPYRLLrkEL774IqZNm4a1a9di165deOONN9z5axARUQ/V0t1MvsXtCc6MGTNQVlaGp59+GsXFxRg9ejQ2btzYOpC4oKAAovhLQ9OECROwZs0aPPnkk/jTn/6EgQMH4rPPPmMNHCIiImrl9jo4rmbrPHoiIiJyP4+qg0NERETkDExwiIiIyOswwSEiIiKvwwSHiIiIvA4THCIiIvI6THCIiIjI67i9Do6rtcyKr6mpcXMkRERE1F0t1+3uVrfxuQSntrYWAKDX690cCREREdmqtrYWoaGhXe7nc4X+JElCUVERgoODW9cfqampgV6vR2FhIYv/uQFff/fje+BefP3di6+/+3XnPZBlGbW1tYiLi2uzwkFHfK4FRxRFxMfHt/uzkJAQ/nG7EV9/9+N74F58/d2Lr7/7dfUedKflpgUHGRMREZHXYYJDREREXocJDgCtVoslS5ZAq9W6OxSfxNff/fgeuBdff/fi6+9+zngPfG6QMREREXk/tuAQERGR12GCQ0RERF6HCQ4RERF5HSY4RERE5HV8JsFZtmwZkpKSoNPpkJaWhqysrE73/+ijjzBkyBDodDqMGDECGzZscFGk3smW1//NN9/E5MmTER4ejvDwcEyZMqXL94s6Z+vff4u1a9dCEATccMMNzg3QB9j6HlRXV+OBBx5AbGwstFotBg0axO8hB9j6+r/yyisYPHgw/P39odfr8fDDD6OpqclF0XqXzZs3Y/r06YiLi4MgCPjss8+6PGbTpk0YO3YstFotBgwYgJUrV9r+xLIPWLt2razRaOS3335bPnTokHzXXXfJYWFhcklJSbv7b926VVapVPLzzz8vHz58WH7yySdlPz8/+cCBAy6O3DvY+vrffvvt8rJly+S9e/fKR44ckefPny+HhobKp0+fdnHk3sHW17/FqVOn5D59+siTJ0+Wr7/+etcE66VsfQ+MRqOckpIiX3PNNfKWLVvkU6dOyZs2bZKzs7NdHLl3sPX1f//992WtViu///778qlTp+RvvvlGjo2NlR9++GEXR+4dNmzYID/xxBPyJ598IgOQP/300073z83NlQMCAuTFixfLhw8fll999VVZpVLJGzdutOl5fSLBSU1NlR944IHWf1utVjkuLk5eunRpu/vfeuut8rRp09psS0tLk++55x6nxumtbH39z2exWOTg4GB51apVzgrRq9nz+lssFnnChAnyW2+9Jc+bN48JjoNsfQ/+85//yP369ZNNJpOrQvRqtr7+DzzwgHz55Ze32bZ48WJ54sSJTo3TF3QnwfnjH/8oX3TRRW22zZgxQ546dapNz+X1XVQmkwm7d+/GlClTWreJoogpU6YgMzOz3WMyMzPb7A8AU6dO7XB/6pg9r//5GhoaYDab0atXL2eF6bXsff3/+te/IioqCgsXLnRFmF7Nnvfgiy++QHp6Oh544AFER0dj+PDhePbZZ2G1Wl0Vttew5/WfMGECdu/e3dqNlZubiw0bNuCaa65xScy+TqlrsNcvtlleXg6r1Yro6Og226Ojo3H06NF2jykuLm53/+LiYqfF6a3sef3P9+ijjyIuLu6CP3jqmj2v/5YtW7BixQpkZ2e7IELvZ897kJubix9++AGzZs3Chg0bcOLECdx///0wm81YsmSJK8L2Gva8/rfffjvKy8sxadIkyLIMi8WCe++9F3/6059cEbLP6+gaXFNTg8bGRvj7+3frPF7fgkOe7bnnnsPatWvx6aefQqfTuTscr1dbW4s5c+bgzTffRGRkpLvD8VmSJCEqKgpvvPEGkpOTMWPGDDzxxBNYvny5u0PzCZs2bcKzzz6L119/HXv27MEnn3yC9evX45lnnnF3aGQDr2/BiYyMhEqlQklJSZvtJSUliImJafeYmJgYm/anjtnz+rd44YUX8Nxzz+H777/HyJEjnRmm17L19T958iTy8vIwffr01m2SJAEA1Go1cnJy0L9/f+cG7WXs+QzExsbCz88PKpWqddvQoUNRXFwMk8kEjUbj1Ji9iT2v/1NPPYU5c+bgzjvvBACMGDEC9fX1uPvuu/HEE09AFNk24EwdXYNDQkK63XoD+EALjkajQXJyMjIyMlq3SZKEjIwMpKent3tMenp6m/0B4Lvvvutwf+qYPa8/ADz//PN45plnsHHjRqSkpLgiVK9k6+s/ZMgQHDhwANnZ2a2P6667Dpdddhmys7Oh1+tdGb5XsOczMHHiRJw4caI1uQSAY8eOITY2lsmNjex5/RsaGi5IYlqSTZnLNzqdYtdg28Y/e6a1a9fKWq1WXrlypXz48GH57rvvlsPCwuTi4mJZlmV5zpw58mOPPda6/9atW2W1Wi2/8MIL8pEjR+QlS5ZwmrgDbH39n3vuOVmj0cgff/yxfPbs2dZHbW2tu34Fj2br638+zqJynK3vQUFBgRwcHCwvWrRIzsnJkb/66is5KipK/tvf/uauX8Gj2fr6L1myRA4ODpY/+OADOTc3V/7222/l/v37y7feequ7fgWPVltbK+/du1feu3evDEB+6aWX5L1798r5+fmyLMvyY489Js+ZM6d1/5Zp4o888oh85MgRedmyZZwm3plXX31VTkhIkDUajZyamipv37699WeXXHKJPG/evDb7f/jhh/KgQYNkjUYjX3TRRfL69etdHLF3seX1T0xMlAFc8FiyZInrA/cStv79/xoTHGXY+h5s27ZNTktLk7VardyvXz/573//u2yxWFwctfew5fU3m83yn//8Z7l///6yTqeT9Xq9fP/998tVVVWuD9wL/Pjjj+1+p7e85vPmzZMvueSSC44ZPXq0rNFo5H79+snvvPOOzc8ryDLb24iIiMi7eP0YHCIiIvI9THCIiIjI6zDBISIiIq/DBIeIiIi8DhMcIiIi8jpMcIiIiMjrMMEhIiIir8MEh4iIiLwOExwiIiLyOkxwiMhrZGZmQqVSYdq0ae4OhYjcjEs1EJHXuPPOOxEUFIQVK1YgJycHcXFx7g6JiNyELThE5BXq6uqwbt063HfffZg2bRpWrlzp7pCIyI2Y4BCRV/jwww8xZMgQDB48GLNnz8bbb78NNlAT+S4mOETkFVasWIHZs2cDAH7zm9/AYDDgp59+cnNUROQuHINDRB4vJycHw4cPx5kzZxAVFQUAWLRoEQwGA9599103R0dE7qB2dwBERI5asWIFLBZLm0HFsixDq9XitddeQ2hoqBujIyJ3YBcVEXk0i8WC1atX48UXX0R2dnbrY9++fYiLi8MHH3zg7hCJyA3YRUVEHu2zzz7DjBkzUFpaekFLzaOPPooffvgBO3fudFN0ROQuTHCIyKNNnz4dkiRh/fr1F/wsKysLaWlp2LdvH0aOHOmG6IjIXZjgEBERkdfhGBwiIiLyOkxwiIiIyOswwSEiIiKvwwSHiIiIvA4THCIiIvI6THCIiIjI6zDBISIiIq/DBIeIiIi8DhMcIiIi8jpMcIiIiMjrMMEhIiIir/P/x5eeYSnAd7IAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 气泡图\n",
    "df4.plot(kind='scatter', x='A', y='B', s=df4['C']*200)  # s是指定气泡大小，这里是用df4的C属性来设置气泡大小"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "04bb0ece-dcd5-43f3-b5c7-c41d9d4883f0",
   "metadata": {},
   "source": [
    "## （5）面积图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "a88abe21-3442-49ed-9f62-f514ed527b2f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>A</th>\n",
       "      <th>B</th>\n",
       "      <th>C</th>\n",
       "      <th>D</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.372795</td>\n",
       "      <td>0.515163</td>\n",
       "      <td>0.083923</td>\n",
       "      <td>0.587688</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.093232</td>\n",
       "      <td>0.001191</td>\n",
       "      <td>0.744371</td>\n",
       "      <td>0.604358</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.185703</td>\n",
       "      <td>0.387505</td>\n",
       "      <td>0.377566</td>\n",
       "      <td>0.510815</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.521183</td>\n",
       "      <td>0.250618</td>\n",
       "      <td>0.508522</td>\n",
       "      <td>0.914290</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.054156</td>\n",
       "      <td>0.670204</td>\n",
       "      <td>0.962092</td>\n",
       "      <td>0.800344</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0.378020</td>\n",
       "      <td>0.092616</td>\n",
       "      <td>0.771949</td>\n",
       "      <td>0.283693</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0.778975</td>\n",
       "      <td>0.473313</td>\n",
       "      <td>0.156880</td>\n",
       "      <td>0.328077</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>0.269129</td>\n",
       "      <td>0.094511</td>\n",
       "      <td>0.333740</td>\n",
       "      <td>0.054531</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>0.333122</td>\n",
       "      <td>0.298760</td>\n",
       "      <td>0.736359</td>\n",
       "      <td>0.208147</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>0.682397</td>\n",
       "      <td>0.737705</td>\n",
       "      <td>0.553043</td>\n",
       "      <td>0.150506</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          A         B         C         D\n",
       "0  0.372795  0.515163  0.083923  0.587688\n",
       "1  0.093232  0.001191  0.744371  0.604358\n",
       "2  0.185703  0.387505  0.377566  0.510815\n",
       "3  0.521183  0.250618  0.508522  0.914290\n",
       "4  0.054156  0.670204  0.962092  0.800344\n",
       "5  0.378020  0.092616  0.771949  0.283693\n",
       "6  0.778975  0.473313  0.156880  0.328077\n",
       "7  0.269129  0.094511  0.333740  0.054531\n",
       "8  0.333122  0.298760  0.736359  0.208147\n",
       "9  0.682397  0.737705  0.553043  0.150506"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df5 = pd.DataFrame(\n",
    "    data=np.random.rand(10, 4),\n",
    "    columns=list('ABCD')\n",
    ")\n",
    "\n",
    "df5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "9eaa9e90-2750-4c2c-ae59-95754f671319",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df5.plot(kind='area')  # 默认就是堆叠的"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "2c11a3fa-4d04-4b84-82c8-8a2c0f616cce",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df5.plot(kind='area', stacked=False)  # 手动设置不堆叠"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "75eabd48-5ef9-4bb9-8422-4183640fb8d8",
   "metadata": {},
   "source": [
    "## （6）箱型图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "a9068bfa-77f1-4958-bfab-272a0a46ecb1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>A</th>\n",
       "      <th>B</th>\n",
       "      <th>C</th>\n",
       "      <th>D</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.114160</td>\n",
       "      <td>0.565195</td>\n",
       "      <td>0.158187</td>\n",
       "      <td>0.870176</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.439505</td>\n",
       "      <td>0.166607</td>\n",
       "      <td>0.538104</td>\n",
       "      <td>0.985315</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.331532</td>\n",
       "      <td>0.039642</td>\n",
       "      <td>0.854928</td>\n",
       "      <td>0.040662</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.135090</td>\n",
       "      <td>0.696716</td>\n",
       "      <td>0.631173</td>\n",
       "      <td>0.307176</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.039838</td>\n",
       "      <td>0.280510</td>\n",
       "      <td>0.232705</td>\n",
       "      <td>0.177179</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0.027994</td>\n",
       "      <td>0.178781</td>\n",
       "      <td>0.837333</td>\n",
       "      <td>0.807274</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0.891587</td>\n",
       "      <td>0.724583</td>\n",
       "      <td>0.643182</td>\n",
       "      <td>0.374396</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>0.466445</td>\n",
       "      <td>0.880075</td>\n",
       "      <td>0.210428</td>\n",
       "      <td>0.722527</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>0.949656</td>\n",
       "      <td>0.995599</td>\n",
       "      <td>0.080328</td>\n",
       "      <td>0.999039</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>0.253116</td>\n",
       "      <td>0.800544</td>\n",
       "      <td>0.273300</td>\n",
       "      <td>0.416506</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          A         B         C         D\n",
       "0  0.114160  0.565195  0.158187  0.870176\n",
       "1  0.439505  0.166607  0.538104  0.985315\n",
       "2  0.331532  0.039642  0.854928  0.040662\n",
       "3  0.135090  0.696716  0.631173  0.307176\n",
       "4  0.039838  0.280510  0.232705  0.177179\n",
       "5  0.027994  0.178781  0.837333  0.807274\n",
       "6  0.891587  0.724583  0.643182  0.374396\n",
       "7  0.466445  0.880075  0.210428  0.722527\n",
       "8  0.949656  0.995599  0.080328  0.999039\n",
       "9  0.253116  0.800544  0.273300  0.416506"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df6 = pd.DataFrame(\n",
    "    data=np.random.rand(10, 4),\n",
    "    columns=list('ABCD')\n",
    ")\n",
    "\n",
    "df6"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "0caf1f89-d0df-4c9a-a38f-814fd3aa4912",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df6.plot(kind='box')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b94800be-ba89-41b8-9439-ca20405e5507",
   "metadata": {},
   "source": [
    "## （7）直方图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "245cceb3-7165-4d49-ac0f-6c2e4f577c0c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>A</th>\n",
       "      <th>B</th>\n",
       "      <th>C</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-0.531342</td>\n",
       "      <td>1.199635</td>\n",
       "      <td>-4.947090</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1.277936</td>\n",
       "      <td>0.571270</td>\n",
       "      <td>-2.040260</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1.836778</td>\n",
       "      <td>1.672181</td>\n",
       "      <td>-1.526324</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.558922</td>\n",
       "      <td>-0.333578</td>\n",
       "      <td>-0.244236</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1.089944</td>\n",
       "      <td>0.148099</td>\n",
       "      <td>-2.146278</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>995</th>\n",
       "      <td>-0.500148</td>\n",
       "      <td>0.396003</td>\n",
       "      <td>0.173432</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>996</th>\n",
       "      <td>3.683700</td>\n",
       "      <td>-0.075458</td>\n",
       "      <td>-0.758669</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>997</th>\n",
       "      <td>1.432627</td>\n",
       "      <td>-0.818279</td>\n",
       "      <td>-1.974429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>998</th>\n",
       "      <td>-1.074781</td>\n",
       "      <td>-1.196436</td>\n",
       "      <td>-1.877644</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999</th>\n",
       "      <td>1.746267</td>\n",
       "      <td>-0.128609</td>\n",
       "      <td>-0.395414</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1000 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            A         B         C\n",
       "0   -0.531342  1.199635 -4.947090\n",
       "1    1.277936  0.571270 -2.040260\n",
       "2    1.836778  1.672181 -1.526324\n",
       "3    1.558922 -0.333578 -0.244236\n",
       "4    1.089944  0.148099 -2.146278\n",
       "..        ...       ...       ...\n",
       "995 -0.500148  0.396003  0.173432\n",
       "996  3.683700 -0.075458 -0.758669\n",
       "997  1.432627 -0.818279 -1.974429\n",
       "998 -1.074781 -1.196436 -1.877644\n",
       "999  1.746267 -0.128609 -0.395414\n",
       "\n",
       "[1000 rows x 3 columns]"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df7 = pd.DataFrame(\n",
    "    data={\n",
    "        'A': np.random.randn(1000) + 1,\n",
    "        'B': np.random.randn(1000),\n",
    "        'C': np.random.randn(1000) - 1,\n",
    "    }\n",
    ")\n",
    "df7"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "4c3ff50a-4263-4b0c-81c4-310385ce8e86",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: ylabel='Frequency'>"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df7.plot(kind='hist')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "017ccb3c-ed41-4a16-b6a5-c1ad98a555a3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: ylabel='Frequency'>"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 带透明色的直方图\n",
    "df7.plot(kind='hist', alpha=0.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "993d150d-d47d-41f1-8945-667d9a4e3c1f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: ylabel='Frequency'>"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 堆叠直方图\n",
    "df7.plot(kind='hist', stacked=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "dcc52b56-154c-4f66-94ae-b95278118bdb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: ylabel='Frequency'>"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
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",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 设置画布大小\n",
    "df7.plot(kind='hist', figsize=(8, 8))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "5a2b4f05-0caf-4ace-9691-aa11057d7522",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "728f52d6-4682-4f0a-b97b-74eb4a04cedd",
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.rcParams['font.sans-serif'] = 'Simhei'\n",
    "plt.rcParams['axes.unicode_minus'] = False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "ed0c6fd2-67fb-40ec-a402-d6c3f5fe4410",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: title={'center': '直方图'}, ylabel='Frequency'>"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df7.plot(kind='hist', title='直方图')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "94f93512-4537-4b76-b045-b3ef1f34ac51",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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